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MCP Community Begins Work on Official MCP Metaregistry
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
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Run SQL in Jupyter/IPython via a %sql
and %%sql
magics.
pip install jupysql
or:
conda install jupysql -c conda-forge
Click here to see the documentation.
This project is a fork of ipython-sql; the objective is to turn this project into a full-featured SQL client for Jupyter. We're looking for feedback and taking feature requests, so please join our community and enter the #jupysql channel.
FAQs
Better SQL in Jupyter
We found that jupysql demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
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